pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex > Class Template Reference

#include <pcl/recognition/face_detection/rf_face_utils.h>

Inheritance diagram for pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >:

Collaboration diagram for pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >:

Public Member Functions
	FeatureHandlerDepthAverage ()
void	setWSize (int w)
	Sets the size of the window to extract features. More...
void	setNumChannels (int nf)
	Sets the number of channels a feature has (i.e. More...
void	setMaxPatchSize (int w)
	Create a set of random tests to evaluate examples. More...
void	createRandomFeatures (const std::size_t num_of_features, std::vector< FT > &features) override
	Create a set of random tests to evaluate examples. More...
void	evaluateFeature (const FT &feature, DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< float > &results, std::vector< unsigned char > &flags) const override
	Evaluates a feature on the specified set of examples. More...
void	evaluateFeature (const FT &feature, DataSet &data_set, const ExampleIndex &example, float &result, unsigned char &flag) const override
	Evaluates a feature on the specified example. More...
void	generateCodeForEvaluation (const FT &, ::std::ostream &) const override
	Generates evaluation code for the specified feature and writes it to the specified stream. More...
Public Member Functions inherited from pcl::FeatureHandler< FT, DataSet, ExampleIndex >
virtual	~FeatureHandler ()=default
	Destructor. More...

Detailed Description

template<class FT, class DataSet, class ExampleIndex>
class pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >

Definition at line 20 of file rf_face_utils.h.

Constructor & Destructor Documentation

FeatureHandlerDepthAverage()

template<class FT , class DataSet , class ExampleIndex >

pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::FeatureHandlerDepthAverage ( )

inline

Definition at line 30 of file rf_face_utils.h.

Member Function Documentation

createRandomFeatures()

template<class FT , class DataSet , class ExampleIndex >

void pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::createRandomFeatures ( const std::size_t  num_of_features, std::vector< FT > &  features  )

inlineoverridevirtual

Create a set of random tests to evaluate examples.

Parameters

[in]	num_of_features	Number features to generated.
[out]	features	Generated features.

Implements pcl::FeatureHandler< FT, DataSet, ExampleIndex >.

Definition at line 94 of file rf_face_utils.h.

evaluateFeature() [1/2]

template<class FT , class DataSet , class ExampleIndex >

void pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::evaluateFeature ( const FT &  feature, DataSet &  data_set, const ExampleIndex &  example, float &  result, unsigned char &  flag  ) const

inlineoverridevirtual

Evaluates a feature on the specified example.

Parameters

[in]	feature	The feature to evaluate.
[in]	data_set	The data set on which the feature is evaluated.
[in]	example	The example of the data set the feature is evaluated on.
[out]	result	The destination for the result of the feature evaluation.
[out]	flag	Flags that are supplied together with the results.

Implements pcl::FeatureHandler< FT, DataSet, ExampleIndex >.

Definition at line 159 of file rf_face_utils.h.

References pcl::face_detection::TrainingExample::col_, pcl::face_detection::TrainingExample::iimages_, pcl_round(), and pcl::face_detection::TrainingExample::row_.

evaluateFeature() [2/2]

template<class FT , class DataSet , class ExampleIndex >

void pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::evaluateFeature ( const FT &  feature, DataSet &  data_set, std::vector< ExampleIndex > &  examples, std::vector< float > &  results, std::vector< unsigned char > &  flags  ) const

inlineoverridevirtual

Evaluates a feature on the specified set of examples.

Parameters

[in]	feature	The feature to evaluate.
[in]	data_set	The data set on which the feature is evaluated.
[in]	examples	The set of examples of the data set the feature is evaluated on.
[out]	results	The destination for the results of the feature evaluation.
[out]	flags	Flags that are supplied together with the results.

Implements pcl::FeatureHandler< FT, DataSet, ExampleIndex >.

Definition at line 142 of file rf_face_utils.h.

generateCodeForEvaluation()

template<class FT , class DataSet , class ExampleIndex >

void pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::generateCodeForEvaluation ( const FT &  , ::std::ostream &    ) const

inlineoverridevirtual

Generates evaluation code for the specified feature and writes it to the specified stream.

Implements pcl::FeatureHandler< FT, DataSet, ExampleIndex >.

Definition at line 188 of file rf_face_utils.h.

setMaxPatchSize()

template<class FT , class DataSet , class ExampleIndex >

void pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::setMaxPatchSize ( int  w )

inline

Create a set of random tests to evaluate examples.

Parameters

[in]

w

Number features to generate.

Definition at line 57 of file rf_face_utils.h.

setNumChannels()

template<class FT , class DataSet , class ExampleIndex >

void pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::setNumChannels ( int  nf )

inline

Sets the number of channels a feature has (i.e.

1 - depth, 4 - depth + normals)

Parameters

[in]

nf

Number of channels.

Definition at line 49 of file rf_face_utils.h.

setWSize()

template<class FT , class DataSet , class ExampleIndex >

void pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >::setWSize ( int  w )

inline

Sets the size of the window to extract features.

Parameters

[in]

w

Window size.

Definition at line 41 of file rf_face_utils.h.

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The documentation for this class was generated from the following file:

• pcl/recognition/face_detection/rf_face_utils.h